298 citations · 409 across the 10 of their papers we have counts for
10 papers
Within-Camera Multilayer Perceptron DVS Denoising
A. Rios-Navarro, S. Guo, G Abarajithan +5
In-camera event denoising reduces the data rate of event cameras by filtering out noise at the source. A lightweight multilayer perceptron denoising filter (MLPF) provides state-of…
LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading
Antonio Rios-Navarro, Enrique Piñero-Fuentes, Salvador Canas-Moreno +3
This paper presents a sensory fusion neuromorphic dataset collected with precise temporal synchronization using a set of Address-Event-Representation sensors and tools. The target…
An MPSoC-based on-line Edge Infrastructure for Embedded Neuromorphic Robotic Controllers
Enrique Pinero-Fuentes, Salvador Canas-Moreno, Antonio Rios-Navarro +3
In this work, an all-in-one neuromorphic controller system with reduced latency and power consumption for a robotic arm is presented. Biological muscle movement consists of stretch…
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm
A. Linares-Barranco, E. Pinero-Fuentes, S. Canas-Moreno +6
Biological nervous systems typically perform the control of numerous degrees of freedom for example in animal limbs. Neuromorphic engineers study these systems by emulating them in…
Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems
Lourdes Duran-Lopez, Juan P. Dominguez-Morales, Daniel Gutierrez-Galan +4
Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of death among men, with almost 1.41 million new cases and around 375,000 deaths in…
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification
Alejandro Linares-Barranco, Antonio Rios-Navarro, Ricardo Tapiador-Morales +1
Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural Networks (CNN) are demanding significant accuracy for…
NeuroPod: a real-time neuromorphic spiking CPG applied to robotics
Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Fernando Perez-Pena +1
Initially, robots were developed with the aim of making our life easier, carrying out repetitive or dangerous tasks for humans. Although they were able to perform these tasks, the…
Performance evaluation over HW/SW co-design SoC memory transfers for a CNN accelerator
A. Rios-Navarro, R. Tapiador-Morales, A. Jimenez-Fernandez +3
Many FPGAs vendors have recently included embedded processors in their devices, like Xilinx with ARM-Cortex A cores, together with programmable logic cells. These devices are known…
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Alessandro Aimar, Hesham Mostafa, Enrico Calabrese +8
Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many state-of-the-art (SOA) visual processing tasks. Even though Graphical Pro…
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
R. Tapiador, A. Rios-Navarro, A. Linares-Barranco +3
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convol…